Instructions to use bhomik7/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bhomik7/output_dir with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bhomik7/output_dir") prompt = "An elegant UI for an eccomerce website" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-4500/optimizer.bin from bhomik7/output_dir: direct link, hf CLI and curl.
- Browser
- Download file 9.71 MB
-
https://huggingface.co/bhomik7/output_dir/resolve/main/checkpoint-4500/optimizer.bin
- Command line
-
hf download hf://bhomik7/output_dir/checkpoint-4500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/bhomik7/output_dir/resolve/main/checkpoint-4500/optimizer.bin
9.71 MB
- Xet hash:
- 783225a0dc4ecc199cc6364d50ac4e64ce5f9d88e3fa155a1fef505c023f979b
- Size of remote file:
- 9.71 MB
- SHA256:
- 43196c0e7e3c604e55d74e3b598a081b18326e40a4a428f61741ece77aadeb09
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